Javascript must be enabled to continue!
Productivity, profitability and nutrient-use efficiency of baby corn (Zea mays) as influenced of varying fertility levels
View through CrossRef
A field experiment was conducted at Varanasi during the 2 consecutive pre-kharif (rainy) season of 2012 and 2013, to work out the optimum levels of NPKS and Zn application for maximizing the yield, monetary returns and nutrient-use efficiency of baby corn (Zea mays L.). Baby cob, baby corn and green fodder yields, economics and nutrient uptake (N, P, K, S and Zn) were significantly higher with application of 125% recommended dose of fertil- izer (RDF). Further, application of 50 kg S/ha resulted in significant increase of baby cob, baby corn, green fodder yields, net profit and nutrient uptake (N, P, K, S and Zn) over the control, but it remained at par with 25 kg S/ha. Similar trend were observed with application of zinc levels also. Increasing levels of sulphur and zinc application progressively reduced the agronomic and physiological efficiency and apparent recovery of baby corn. In general, these indices were noted markedly higher with application of 25 kg S/ha and 5 kg Zn/ha than 50 kg S/ha and 10 kg Zn/ha, respectively. However, nutrient-harvest index of N, P, K were decreased gradually with application of in- creasing levels of NPKS and Zn but reverse in case of S and Zn application. Hence application of 125% RDF along with 50 kg S/ha and 10 kg Zn/ha was found optimum to obtain the maximum baby corn yield, net profit and nutrient-use efficiency under irrigated conditions of Varanasi, Uttar Pradesh.
The Indian Society of Agronomy
Title: Productivity, profitability and nutrient-use efficiency of baby corn (Zea mays) as influenced of varying fertility levels
Description:
A field experiment was conducted at Varanasi during the 2 consecutive pre-kharif (rainy) season of 2012 and 2013, to work out the optimum levels of NPKS and Zn application for maximizing the yield, monetary returns and nutrient-use efficiency of baby corn (Zea mays L.
).
Baby cob, baby corn and green fodder yields, economics and nutrient uptake (N, P, K, S and Zn) were significantly higher with application of 125% recommended dose of fertil- izer (RDF).
Further, application of 50 kg S/ha resulted in significant increase of baby cob, baby corn, green fodder yields, net profit and nutrient uptake (N, P, K, S and Zn) over the control, but it remained at par with 25 kg S/ha.
Similar trend were observed with application of zinc levels also.
Increasing levels of sulphur and zinc application progressively reduced the agronomic and physiological efficiency and apparent recovery of baby corn.
In general, these indices were noted markedly higher with application of 25 kg S/ha and 5 kg Zn/ha than 50 kg S/ha and 10 kg Zn/ha, respectively.
However, nutrient-harvest index of N, P, K were decreased gradually with application of in- creasing levels of NPKS and Zn but reverse in case of S and Zn application.
Hence application of 125% RDF along with 50 kg S/ha and 10 kg Zn/ha was found optimum to obtain the maximum baby corn yield, net profit and nutrient-use efficiency under irrigated conditions of Varanasi, Uttar Pradesh.
Related Results
BABY MASSAGE DAN BABY SWIMMING LEBIH BERPENGARUH DARI BABY MASSAGE DAN BABY GYM TERHADAP KUALITAS TIDUR BAYI USIA 3-6 BULAN
BABY MASSAGE DAN BABY SWIMMING LEBIH BERPENGARUH DARI BABY MASSAGE DAN BABY GYM TERHADAP KUALITAS TIDUR BAYI USIA 3-6 BULAN
<div class="WordSection1"><p align="center"><strong>ABSTRAK</strong></p><p>Kualitas tidur bayi sangat berpengaruh pada pertumbuhan bayi. Untuk m...
Development and improvement of artificial diets for larvae of Diabrotica species using multidimensional design space techniques
Development and improvement of artificial diets for larvae of Diabrotica species using multidimensional design space techniques
The western corn rootworm (Coleoptera: Chrysomelidae; Diabrotica virgifera virgifera LeConte) and the northern corn rootworm (Coleoptera: Chrysomelidae; Diabrotica barberi Smith an...
Kandungan Asam Laktat Dan Total Bakteri Asam Laktat Silase Jerami Jagung (Zea mays. L) Dengan Penambahan Aditif Yang Berbeda
Kandungan Asam Laktat Dan Total Bakteri Asam Laktat Silase Jerami Jagung (Zea mays. L) Dengan Penambahan Aditif Yang Berbeda
ABSTRAK
Penelitian ini bertujuan untuk mengetahui pengaruh kandungan asam laktat dan total bakteri asam laktat silase jerami jagung (Zea mays. L) dengan penambahan aditif yan...
Performance of baby corn (Zea mays) under different fertility levels and planting methods and its residual effect on sorghum (Sorghum bicolor)
Performance of baby corn (Zea mays) under different fertility levels and planting methods and its residual effect on sorghum (Sorghum bicolor)
A field trial was conducted at Varanasi during 201011 and 201112, to study the effect of fertility levels and planting methods on growth, yield, nutrient uptake and economics of ba...
Evaluation of Functional, Nutritional and Bioactive Properties of Gluten Free Muffins Utilizing Industrial By-Products of Baby Corn
Evaluation of Functional, Nutritional and Bioactive Properties of Gluten Free Muffins Utilizing Industrial By-Products of Baby Corn
This study was planned to utilize by-products of baby corn, which was powdered upon drying. Different formulations containing baby corn: defatted soya: plantain: finger millet flou...
Influence of the best management practices on performance of dual-purpose baby corn (Zea mays) under eastern Himalayas
Influence of the best management practices on performance of dual-purpose baby corn (Zea mays) under eastern Himalayas
A field experiment was conducted during the winter (rabi) season of 2013–15 at the ICAR–Research Complex for North-Eastern Hill Region, Nagaland Centre, Jharnapani, Medziphema, Nag...
USE OF CORN GRAIN IN PRODUCTION OF FOOD PRODUCTS
USE OF CORN GRAIN IN PRODUCTION OF FOOD PRODUCTS
In Ukraine, the following basic crops are used as raw materials for the production of cereals, flour, flakes: wheat, barley, buckwheat, oats, corn, rice, millet, peas. The volume o...
Quantifying corn emergence using UAV imagery and machine learning
Quantifying corn emergence using UAV imagery and machine learning
Corn (Zea mays L.) is one of the important crops in the United States for animal feed, ethanol production, and human consumption. To maximize the final corn yield, one of the criti...

